Alfredo Covaleda,
Bogota, Colombia
Stephen Guerin,
Santa Fe, New Mexico, USA
James A. Trostle,
Trinity College, Hartford, Connecticut, USA
One of the interesting challenges for journalists and public health professionals is figuring out how to compare, and visualize, health care statistics in a demographic and geographic environment. Yeah, that's one of the things that epidemologists are supposed to do every day. But it ain't easy. In the current issue of ArcUser, Chakib Battioui, of the University of Louisville, Kentucky, has written an interesting article on “Calculating Health Disparity Indexes.” “Socioeconomic indexes are strongly believed to be associated with the risk of disease. However, there is no consensus in the United States regarding which area-based measure should be used to assess socioeconomic inequalities in health…. “To study the relationship between the rate of cervical cancer and economic status, the project used the Socio Economic Risk Index (SERI). SERI classifies people in public databases based on residential neighborhood characteristics and permits the calculation of population-based rates stratified by location…. “There are technical and conceptual obstacles to the adoption of area-based measures for public health. Currently, there is no consensus in the United States regarding which area-based measures should be used and what level of geography should be used to measure or monitor socioeconomic inequalities in health.”
The article is worth checking out because of the methodology's potential for application to other types of data.
Better Access to Public Health Infomation The same issue of ArcUser also carries an article by our old friend Bill Davenhall, of ESRI. His topic is as broad as the sub-hed above, but the accompanying map is especially interesting. Its caption: “Facing a flu vaccine shortage for the 2004-2005 flu season, Nebraska public health officials rapidly determined both the current vaccine supply and the anticipated demand using GIS.”
We're told that there might well be another flu vaccine shortage this coming winter. Heads up journos are starting to think now about how to cover — and illustrate — THAT story.
From the good ol' Librarians' Index to the Internet comes a good site/toolbox for learning and teaching stats. “The Claremont Colleges' “Web Interface for Statistics Education” (WISE) seeks to expand teaching resources offered through Introductory Statistics courses, especially in the social sciences. This project aims to develop an on-line teaching tool to take advantage of the unique hypertextual and presentational benefits of the World Wide Web (WWW). This teaching tool's primary application is as a supplement to traditional teaching materials, addressing specific topics that instructors have difficulty in presenting using traditional classroom technologies. The tool serves to promote self-paced learning and to provide a means for advanced students to review concepts.”
Last week, NOAA predicated a serious hurricane season a'comin' in the Atlantic, which has implications for the entire U.S. East Coast. That's last week's news, but if one lives in California, Mexico, Central America or Japan, then today there's always the possibility of a major shaker. And those are just risks imposed by nature. Modeling these and other hazards of life is the mission of RMS, a fascinating California company demonstrating innovative thinking and analytic tools.
“RMS brings together a unique, multidisciplinary team of experts to create solutions for its clients’ natural hazard and financial risk management challenges. We are the technical leader in our market, with over 100 engineers and scientists devoted to the development of risk models. Of this number, approximately fifty percent hold advanced degrees in their field of expertise.
Our specialists track research among leading experts and academic institutions worldwide, and supplement this knowledge with internal R&D to ensure that our models provide the most complete and accurate quantification of risk.”
Yup — our kind of guys. Examples of the output of these “risk models” can be found here. Of special interest to U.S. journalists are the Catastrophe Risk maps. (They are a bit too small to read in detail, but big enough to get the gist of some of the RMS product.)
We hope to report more next week about RMS, how it does what it does and how there might be some synergy there for analytic journalists.
Here at the IAJ we believe one of the reasons people come to newspapers or broadcast stations is to get the data which, upon analysis, they can turn into information that helps them make decisions. Ergo, the more meaningful data a journalistic institution can provide, the greater value that institution has for a community. A good example arrived today thanks to Tara Calishain, creator of ResearchBuzz. She writes: ** Getcher Cheap Gas Prices on Google Maps <http://www.researchbuzz.org/getcher_cheap_gas_prices_on_google_maps.shtml> “Remember when I was saying that I would love a Gasbuddy / Google Maps mashups that showed cheap gas prices along a trip route? Turns out somebody has already done it — well, sorta. You can specify a state, city (only selected cities are available) and whether you're looking for regular or diesel fuel. Check it out at http://www.ahding.com/cheapgas/ “
The data driving the map is ginned up by GasBuddy.com It's not clear how or why GasBuddy gets its data, but it offers some story potential for journalists and data for news researchers. It has an interesting link to dynamic graphs of gas prices over time.
Surely the promotion department of some news organization could grab onto this tool, tweak it a bit, promote the hell out of it, and drive some traffic to and build loyalty for the organization's web site.
That's the obvious angle, but what if some enterprising journo started to ask some questions of the data underlying the map? What's the range in gas prices in our town/state? (In Albuquerque today, the range was from $2.04 to $2.28.) Are there any demographic or traffic flow match-ups to that price range? How 'bout the variance by brand?
Would readers appreciate this sort of data? We think so, especially if there was an online sign-up and the news provider would deliver the changing price info via e-mail or IM much like Travelocity tells us when airline ticket prices change by TK dollars.
Regional Economic Models Inc. cordially invites you to join us on June 7th for a teleconference regarding Base Realignment and Closure (BRAC). On Friday May 13th Department of Defense released Recommendations to the BRAC commission. We feel that a discussion of BRAC studies and analysis methods would be helpful to a number of communities: Topics to be discussed include: – Demographic effects of active military, reservists, & dependents. – Migration effects of re-alignment or closures. – Dynamic effects of government spending over time. – The Impacts of lost or reduced civilian contracts. – Previous BRAC studies using the REMI model. – Other topics by REMI Guest Speakers. A presentation will be sent out before the call in order to direct and facilitate discussion. There will be two teleconferences taking place on the 7th, one at 10am, one at 4pm EST, hosted by Frederick Treyz and Jonathan Lee. There is no fee for participation, but space is limited. If you are planning on joining us or would like to participate in the discussion please respond to this e-mail, register online at www.remi.com or contact us by phone at (413) 549-1169. We look forward to speaking with you in June! Yours truly, Frederick Treyz, Ph.D. Chief Executive Officer Regional Economic Models, Inc. 306 Lincoln Ave. Amherst, MA 01002 T. 413-549-1169 F. 413-549-1038 Fredtreyz@remi.com www.remi.com
The power of good infographics is that they can greatly aid in the upstream aspects of journalism — providing insight for journalists to understand what's happening with a particular phenomena — and then downstream, to help journalists tell the story and for the audience to understand it. The Digital Revolution has upped the ante far beyond what good ol' Leonardo was using and envisioning. One of the innovators in today's datasphere is Alexander Tsiaras. A recent story in Digital Journal has this to say about Tsiaras's company, Anatomical Travelogue: “Digital Journal — At ideaCity04, one presenter was so overflowing with information that host Moses Znaimer had to enter stage right and patiently sit beside him, a silent reminder to wrap it up. But you couldn’t ask Alexander Tsiaras to gloss over the wonders of the human body, from blood flow to cell mutation.
During his presentation, he showed images from his visualization software company Anatomical Travelogue, whose clients include Nike, Pfizer and Time Inc. Tsiaras and his 25 employees take data from MRI scans, spiral CT scans and other medical imaging technologies, and use them to create scientifically accurate 3D pictures and animations.
In 2003, his book of images of fetal development, From Conception to Birth, sold 150,000 copies and his latest work is Part Two of this fantastic voyage, The Architecture and Design of Man and Woman. For a chapter on sex, Tsiaras even scanned an employee doing the deed with his girlfriend — all in the name of science.”
Jump into the study of epidemiology with Prof. David Kleinbaum and Prof. Nancy Barker in the online course “Fundamentals of Epidemiology” at statistics.com June 10 – July 15. Using their electronic textbook “ActiveEpi”, this introductory course emphasizes the underlying concepts andmethods of epidemiology. Topics covered include: study designs (clinical trials, cohort studies, case-control studies, and cross-sectional studies), measures of disease frequency and effect. Dr. Kleinbaum, professor at Emory University, is internationally known for his textbooks in statistical and epidemiologic methods and also as an outstanding teacher. He is the author of “Epidemiologic Research-Principles and Quantitative Methods”, “Logistic Regression- A Self-Learning Text”, and “Survival Analysis- A Self Learning Text”. Prof. Barker is a consulting biostatistician and a co-author of the “ActivEpi Companion Text”, and has over 10 years of experience teaching short courses in epidemiology and biostatistics at Emory and at the Centers for Disease Control and Prevention. The course takes place online at statistics.com in a series of 5 weekly lessons and assignments. Course participants work directly with both instructors via a private discussion board. Participate in the course at your own convenience; there are no set times when you are required to be online. For registration and information: http://www.statistics.com/content/courses/epi1/index.html Peter Bruce courses@statistics.com P.S. Coming up June 3 at statistics.com: “Toxicological Risk Assessment” and “Using the Census's new 'American Community Survey' ” and, on June 10, “Categorical Data Analysis.”
We have long admired and appreciated the work of Dartmouth Professor J. Laurie Snell and his colleagues at the CHANCE project. (There are some terrific online lectures on all phases of statistics and probability at the Chance Lectures) We received the following recently: In order to give Chance News the chance for a longer life we have changed it to a ChanceWiki. The new url is http://chance.dartmouth.edu/chancewiki/ For the ChanceWiki we are using the software developed for the very successful free Encyclopedia Wikipedia. http://en.wikipedia.org/wiki/ The wiki software makes it easy for anyone to add an item or to make changes in an existing article (hopefully an improvement) in the current Chance News. On the Main Page of the ChanceWiki you will find links to the current Chance news and “How to submit a new article or edit an existing article”. We hope you will try making a contribution. If you have any questions I will be happy to try to answer them. J. Laurie Snell jlsnell@dartmouth.edu
One of the things we've learned in the past decade is that journalists and police departments often are asking the same questions and use — or could use — many of the same methods to analyze data. In fact, we would argue that crime analysts and criminologists are doing some of the best work in the social sciences today. One of the issues of import to both professions is racial profiling. A recent publication from the U.S. Dept. of Justice suggests some methods for analyzing the that data.
A Suggested Approach to Analyzing Racial Profiling: Sample Templates for Analyzing Car-Stop Data
Source: U.S. Department of Justice, Office of Community Oriented Policing Services
A Suggested Approach to Analyzing Racial Profiling: Sample Templates for Analyzing Car-Stop Data (PDF; 468 KB)
“Decisions regarding the merits of racial profiling concerns are important and should not be based on either anecdotal evidence or incomplete analysis. Evaluating the extent and nature of police profiling patterns may lead to decisions regarding proper training and appropriate police tactics. It is crucial that such evaluations rely on appropriate methodological approaches, objectively obtained data, and appropriate benchmarks or comparison guidelines.“
One of the underlying — and motivating — assumptions here at the IAJ is that having good data is a prerequisite to doing good analysis. And the analytic journalist needs to know first what data is available before any questions can be raised about the quality and defintion of that data. All this means we are talking about transparency in government and, when possible, the private sector. (It also applies to transparency in journalism. More on that here and in days to come.)
One of our favorite and most reliable sources is The Scout Report. It informs us today:
“Development Gateway: Public Sector Transparency http://topics.developmentgateway.org/special/transparency The Scout Report has profiled various offerings from the Development Gateway in the past several years, but one of the group's latest creations is both thought-provoking and helpful for policy-makers and persons generally interested in the subject of governance. This particular site casts an eye on the question of transparency in governmental transactions through interviews with leaders from a broad range of sectors, along with allowing space for individual feedback. The “Points of View” section is a good place to start, as it includes commentary from government officials from Bolivia, Guatemala, and Tanzania about the question of public sector transparency. Other sections on the site address such thorny questions as “What tools help sustain public sector transparency?” and “What practices promote public-private partnerships?” Those visual learners coming to visit the site may appreciate the gallery of charts that offer indicators of levels ofgovernance and transparency for more than 209 countries. [KMG]”
On that site you will find: “This Special Report on Public Sector Transparency illustrates current international trends in advancing transparency through civil society, government and the media. Through extensive interviews with leaders across a range of sectors as well as survey feedback from Development Gateway users, this Report explores the practical issues of ensuring openness in governments around the world.”